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» Maximum entropy methods for biological sequence modeling
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TCSV
2008
177views more  TCSV 2008»
13 years 9 months ago
An ICA Mixture Hidden Markov Model for Video Content Analysis
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...
Jian Zhou, Xiao-Ping Zhang
BMCBI
2010
72views more  BMCBI 2010»
13 years 9 months ago
Potentials 'R'Us web-server for protein energy estimations with coarse-grained knowledge-based potentials
Background: Knowledge-based potentials have been widely used in the last 20 years for fold recognition, protein structure prediction from amino acid sequence, ligand binding, prot...
Yaping Feng, Andrzej Kloczkowski, Robert L. Jernig...
BMCBI
2005
137views more  BMCBI 2005»
13 years 9 months ago
A configuration space of homologous proteins conserving mutual information and allowing a phylogeny inference based on pair-wise
Background: Popular methods to reconstruct molecular phylogenies are based on multiple sequence alignments, in which addition or removal of data may change the resulting tree topo...
Olivier Bastien, Philippe Ortet, Sylvaine Roy, Eri...
CAV
2009
Springer
135views Hardware» more  CAV 2009»
14 years 9 months ago
Sliding Window Abstraction for Infinite Markov Chains
Window Abstraction for Infinite Markov Chains Thomas A. Henzinger1 , Maria Mateescu1 , and Verena Wolf1,2 1 EPFL, Switzerland 2 Saarland University, Germany Abstract. We present an...
Thomas A. Henzinger, Maria Mateescu, Verena Wolf
ALMOB
2008
95views more  ALMOB 2008»
13 years 9 months ago
A stitch in time: Efficient computation of genomic DNA melting bubbles
Background: It is of biological interest to make genome-wide predictions of the locations of DNA melting bubbles using statistical mechanics models. Computationally, this poses th...
Eivind Tøstesen